Data Craft Days

Mastering Data Skills in 5 Days

Secure your spot now and unlock the door to endless possibilities in data engineering and data science.

Rabat,
Morocco

June 3rd - 7th,
2024

Rabat Marocco

Welcome to a 5-day journey to expertise

Welcome to a
5-day journey
to expertise

Embark on a transformative journey through our 5-day education program, meticulously crafted to empower you with the essential skills in Data Engineering and Data Science. Dive into Python fundamentals, master Kafka for real-time dataprocessing, and harness the power of Spark for big data analytics in the Data Engineering curriculum. In the Data Science track, advance your Python proficiency, explore data manipulation with NumPy and Pandas, and delve into predictive modeling using techniques like linear regression and clustering. Whether you’re a novice or seasoned professional, this program offers a comprehensive blend of theory and hands-on practice to propel your career forward.

40 hours

training
program

take a deep dive into data science and engineering

Our curriculum isn’t just about scratching the surface, it’s a hands-on, immersive experience crafted for those hungry to conquer the complexities of data. This is why we divided the curriculum into two main subjects.

01

01

Data
Engineering
Curriculum

Python

  • Setting up the environment
  • Basic data types and variables
  • Lists, tuples, and dictionaries
  • Loops and if statements
  • Functions
  • Classes / Objects
  • User input, working with files
  • Handling exceptions
Mini project 1
Design and Create a Relational Database / Implement SQL Operations for Data Manipulation / Craft Database Design / Execute Powerful SQL Operations
Mini project 2
Master Database Connectivity: Dive into Analysis and Visualization

Python

  • Setting up the environment
  • Basic data types and variables
  • Lists, tuples, and dictionaries
  • Loops and if statements
  • Functions
  • Classes / Objects
  • User input, working with files
  • Handling exceptions
Mini project 1
Design and Create a Relational Database / Implement SQL Operations for Data Manipulation / Craft Database Design / Execute Powerful SQL Operations
Mini project 2
Master Database Connectivity: Dive into Analysis and Visualization

Spark

  • Docker containers setup (Spark master, Spark worker)
  • Spark DataFrame basics
  • Spark streaming with Netcat
  • Spark streaming with Kafka

Spark

  • Docker containers setup (Spark master, Spark worker)
  • Spark DataFrame basics
  • Spark streaming with Netcat
  • Spark streaming with Kafka

Kafka

  • Docker containers setup (Zookeeper, Kafka, Kafka-UI)
  • Creating Kafka Topics using Kafka-UI
  • Console & Python producer and consumer

Kafka

  • Docker containers setup (Zookeeper, Kafka, Kafka-UI)
  • Creating Kafka Topics using Kafka-UI
  • Console & Python producer and consumer

02

02

Data
Science
Curriculum

Data Science Curriculum

  • Python advanced concepts
  • NumPy
  • Pandas reading and writing files
  • Matplotlib & Seaborn
  • Missing values and visualisations
  • Linear regression
  • Decision tree: Clustering / K-means / K nearest neighbours (KNN) / Support vector Machine (SVM) / Fuzzy c-means
  • Time series basics & Time series data preparation
  • Autoregressive Integrated Moving Average (ARIMA) – used to forecast (predict) and better understand Time Series data
  • Artificial neural network (ANN) – Creating and Hypeparametrizing a neural network
Project
Develop a Prediction Model

Data Science Curriculum

  • Python advanced concepts
  • NumPy
  • Pandas reading and writing files
  • Matplotlib & Seaborn
  • Missing values and visualisations
  • Linear regression
  • Decision tree: Clustering / K-means / K nearest neighbours (KNN) / Support vector Machine (SVM) / Fuzzy c-means
  • Time series basics & Time series data preparation
  • Autoregressive Integrated Moving Average (ARIMA) – used to forecast (predict) and better understand Time Series data
  • Artificial neural network (ANN) – Creating and Hypeparametrizing a neural network
Project
Develop a Prediction Model

Meet Your
Trainer

Valentino Pintar

Data Engineer at Poslovna Inteligencija

Valentino Pintar is a seasoned consultant specialized in Data Science and Big Data. With over 5 years of experience in the field of data and machine learning, and more than 10 years of experience as a GIS analyst, he is dedicated to ecological modeling within the context of machine learning. Actively involved in the Cyber4De project, he demonstrates a passion for engineering work and emphasizes his expertise in applying machine learning techniques and developing algorithms to solve real-world problems. He is certified as a Cloudera CDP generalist and utilizes technologies such as Kubernetes, Docker, Python, R, and SQL.

Apply for workshop

Secure your spot now and unlock the door to endless possibilities in data engineering and data science.

Days
Hours
Minutes
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Our Trainings

Crafted by the Data Analytics experts

Don’t miss this opportunity to elevate your skills and accelerate your career in the dynamic world of data. Discover our experts training program.

16 hours / 2 days
Intermediate
Data Science is the most significant trend in the field of analytical data, which requires a wider picture related to data, analysis and presentation
16 hours / 2 days
Intermediate
Education is designed to upgrade existing SQL knowledge with advanced functionality to optimize performance and use advanced SQL functionalities
16 hours / 2 days
Beginner
Get the skills to work with Tableau, the world leader in data analysis and visualization.
16 hours / 2 days
Beginner
Get to know the Python programming language and the popular open-source solutions Apache Kafka and Apache Spark.
16 hours / 2 days
Beginner
Learn the foundation to work with databases with SQL so you can start analyzing your own data.
24 hours / 3 days
Intermediate
Education is designed to enable data integration, which plays an important role in the data storage process.
16 hours / 2 days
Beginner
All the skills and knowledge you need to start analyzing and visualizing your own business data
16 hours / 2 days
Intermediate
Learn the fundamentals of data streaming and build your own data pipeline.
16 hours / 2 days
Intermediate
Are you a PBI user and writing DAX functions, but not sure if you’re using them correctly?
8 hours / 1 day
Beginner
Use Big Data for data collection and data analytics and take advantage of the potential of your business.